CN108491523A - A kind of production method for early warning based on weather data - Google Patents
A kind of production method for early warning based on weather data Download PDFInfo
- Publication number
- CN108491523A CN108491523A CN201810258433.5A CN201810258433A CN108491523A CN 108491523 A CN108491523 A CN 108491523A CN 201810258433 A CN201810258433 A CN 201810258433A CN 108491523 A CN108491523 A CN 108491523A
- Authority
- CN
- China
- Prior art keywords
- data
- weather
- meteorologic parameter
- production base
- production
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 178
- 241000196324 Embryophyta Species 0.000 claims abstract description 87
- 230000000875 corresponding effect Effects 0.000 claims abstract description 79
- 230000009471 action Effects 0.000 claims abstract description 36
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000013507 mapping Methods 0.000 claims abstract description 21
- 238000004590 computer program Methods 0.000 claims description 22
- 230000015654 memory Effects 0.000 claims description 22
- 238000009434 installation Methods 0.000 claims description 13
- 238000003860 storage Methods 0.000 claims description 13
- 238000000605 extraction Methods 0.000 claims description 7
- 239000000284 extract Substances 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 241000208340 Araliaceae Species 0.000 claims description 3
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 3
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 3
- 235000008434 ginseng Nutrition 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 2
- 230000006870 function Effects 0.000 description 8
- 241000219095 Vitis Species 0.000 description 7
- 235000009754 Vitis X bourquina Nutrition 0.000 description 7
- 235000012333 Vitis X labruscana Nutrition 0.000 description 7
- 235000014787 Vitis vinifera Nutrition 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 241000220324 Pyrus Species 0.000 description 5
- 238000006243 chemical reaction Methods 0.000 description 5
- 235000021017 pears Nutrition 0.000 description 5
- 244000241257 Cucumis melo Species 0.000 description 3
- 235000015510 Cucumis melo subsp melo Nutrition 0.000 description 3
- FJJCIZWZNKZHII-UHFFFAOYSA-N [4,6-bis(cyanoamino)-1,3,5-triazin-2-yl]cyanamide Chemical compound N#CNC1=NC(NC#N)=NC(NC#N)=N1 FJJCIZWZNKZHII-UHFFFAOYSA-N 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 241000220225 Malus Species 0.000 description 2
- 235000011430 Malus pumila Nutrition 0.000 description 2
- 235000015103 Malus silvestris Nutrition 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000002209 hydrophobic effect Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 102100034112 Alkyldihydroxyacetonephosphate synthase, peroxisomal Human genes 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 101000799143 Homo sapiens Alkyldihydroxyacetonephosphate synthase, peroxisomal Proteins 0.000 description 1
- 240000008254 Rosa chinensis Species 0.000 description 1
- 235000000664 Rosa chinensis Nutrition 0.000 description 1
- DMBHHRLKUKUOEG-UHFFFAOYSA-N diphenylamine Chemical compound C=1C=CC=CC=1NC1=CC=CC=C1 DMBHHRLKUKUOEG-UHFFFAOYSA-N 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008635 plant growth Effects 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Animal Husbandry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Agronomy & Crop Science (AREA)
- Mining & Mineral Resources (AREA)
- General Health & Medical Sciences (AREA)
- Marine Sciences & Fisheries (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention discloses a kind of, and production method for early warning and device based on weather data improve the real-time and validity of Forewarning Measures implementation for realizing the automatic early-warning based on weather data to plant production.Present invention method includes:The data of weather forecast of production base in Internet of Things is obtained by preset data-interface;The meteorologic parameter of corresponding production base is extracted from data of weather forecast;Convert meteorologic parameter to corresponding weather notation image;Determine that the weather notation image corresponds to the plant variety of production base;According to the plant variety, weather notation image is converted into corresponding action by action mapping table and is executed instruction, action is executed instruction carries out early warning for the plant to production base.
Description
Technical field
The present invention relates to technical field of plant production more particularly to a kind of production method for early warning based on weather data.
Background technology
With production centralization and the development of automation, large area plantation becomes a kind of trend, and this planting patterns is not only
It is easy to implement centralization, the unitized management to plant, also allows for realizing the automatic management to plant.
Current Cultivate administration mode watches that weather is pre- often by administrative staff in advance when in face of weather warning
Count off evidence, and in weather forecast when prompt warning information, artificial takes preventive measures, and the mode of this artificial early warning,
Not only there is certain delay when receiving information, and be easy error in receive process, and then Forewarning Measures is caused to be taken not in time,
It even malfunctions, causes unnecessary loss;Furthermore this artificial alarm mode, can not save historical data, lead to reference information
The serious loss in source.
Invention content
An embodiment of the present invention provides a kind of production method for early warning based on weather data, for realizing based on weather data
To the automatic early-warning of plant production, the real-time and validity of Forewarning Measures implementation are improved.
First aspect of the embodiment of the present invention provides a kind of production method for early warning based on weather data, including:
The data of weather forecast of production base in Internet of Things is obtained by preset data-interface;
The meteorologic parameter of corresponding production base is extracted from data of weather forecast;
Convert meteorologic parameter to corresponding weather notation image;
Determine that weather notation image corresponds to the plant variety of production base;
According to plant variety, weather notation image is converted into corresponding action by action mapping table and is executed instruction, it should
Action is executed instruction carries out early warning for the plant to production base.
Preferably, after converting meteorologic parameter to corresponding weather notation image, this method further includes:
According to meteorologic parameter, the corresponding meteorologic parameter curve graph in Internet of Things production base is drawn.
Preferably, this method further includes:
Multiple data-interfaces are set and obtain data of weather forecast;
Count the error rate of the data of weather forecast and practical weather data of each data-interface in multiple data-interfaces;
The data-interface for choosing error rate minimum is preset data-interface.
Preferably, after the meteorologic parameter for extracting corresponding production base in data of weather forecast, this method is also wrapped
It includes:
The first sensitive meteorologic parameter of plant cultivated to production base is determined from meteorologic parameter;
First meteorologic parameter is especially shown.
Second aspect of the embodiment of the present invention provides a kind of production prior-warning device based on weather data, including:
Acquiring unit, the data of weather forecast for obtaining production base in Internet of Things by preset data-interface;
Extraction unit, the meteorologic parameter for extracting corresponding production base from data of weather forecast;
First converting unit, for converting meteorologic parameter to corresponding weather notation image;
First determination unit, for determining that weather notation image corresponds to the plant variety of production base;
Second converting unit, for according to plant variety, weather notation image to be converted to correspondence by acting mapping table
Action execute instruction, which executes instruction for carrying out early warning to the plant of production base.
Preferably, which further includes:
Drawing unit, for according to meteorologic parameter, drawing the corresponding meteorologic parameter curve graph in Internet of Things production base.
Preferably, which further includes:
Setting unit obtains data of weather forecast for multiple data-interfaces to be arranged;
Statistic unit, for counting the data of weather forecast of each data-interface and practical day destiny in multiple data-interfaces
According to error rate;
Selection unit, the data-interface for choosing error rate minimum are preset data-interface.
Preferably, which further includes:
Second determination unit, the first meteorological ginseng sensitive for determining plant cultivated to production base from meteorologic parameter
Number;
Display unit, for especially being shown to the first meteorologic parameter.
The embodiment of the present invention additionally provides a kind of computer installation, including processor, which is stored in execution
When computer program on reservoir, for realizing the production early warning based on weather data described in first aspect of the embodiment of the present invention
Method.
The embodiment of the present invention additionally provides a kind of readable storage medium storing program for executing, is stored thereon with computer program, the computer journey
When sequence is executed by processor, for realizing the pre- police of the production based on weather data described in first aspect of the embodiment of the present invention
Method.
As can be seen from the above technical solutions, the embodiment of the present invention has the following advantages:
In the embodiment of the present invention, the data of weather forecast of Internet of Things production base is obtained by preset data-interface, from
The meteorologic parameter that corresponding production base is extracted in the data of weather forecast converts the meteorologic parameter to corresponding weather notation
Image determines that weather notation image corresponds to the plant variety of production base, and according to the plant variety, weather notation image is passed through
Action mapping table is converted to corresponding action and executes instruction, which executes instruction carries out early warning for the plant to production base
Prompt, relative to the artificial mode for obtaining data, is improved because in the present embodiment, directly obtaining weather data by data-interface
The time efficiency and accuracy rate that weather data obtains, and convert meteorologic parameter to corresponding weather notation image, goes forward side by side one
Weather notation image is mapped as executing instruction with the relevant action of the plant variety of the production base by step, for production base
Plant carry out early warning, improve Forewarning Measures implementation real-time and validity.
Description of the drawings
Fig. 1 is one embodiment schematic diagram of the production method for early warning based on weather data in the embodiment of the present invention;
Fig. 2 is another embodiment schematic diagram of the production method for early warning based on weather data in the embodiment of the present invention;
Fig. 3 is one embodiment schematic diagram of the production prior-warning device based on weather data in the embodiment of the present invention;
Fig. 4 is another embodiment schematic diagram of the production prior-warning device based on weather data in the embodiment of the present invention.
Specific implementation mode
An embodiment of the present invention provides a kind of production method for early warning based on weather data, for realizing based on weather data
To the automatic early-warning of plant production, the real-time and validity of Forewarning Measures implementation are improved.
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The every other embodiment that member is obtained without making creative work should all belong to the model that the present invention protects
It encloses.
Term " first ", " second ", " third " in description and claims of this specification and above-mentioned attached drawing, "
Four " etc. be for distinguishing similar object, without being used to describe specific sequence or precedence.It should be appreciated that using in this way
Data can be interchanged in the appropriate case, so that the embodiments described herein can be in addition to illustrating or describing herein
Sequence other than appearance is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that covering is non-exclusive
Include to be not necessarily limited to clearly arrange for example, containing the process of series of steps or unit, method, system, product or equipment
Those of go out step or unit, but may include not listing clearly or solid for these processes, method, product or equipment
The other steps or unit having.
The production method for early warning based on weather data in the embodiment of the present invention will be described below, referring to Fig. 1, of the invention
One embodiment of production method for early warning based on weather data in embodiment, including:
101, the data of weather forecast of production base in Internet of Things is obtained by preset data-interface;
With the development of the communication technology, all items can have been connect by information sensing device with internet by Internet of Things
Come, information exchange is carried out, to realize Weigh sensor and management.
And Internet of Things can be added in production base by position identification technology, to realize to the identification of the position of production base and
Intelligent management, in general, position identification technology includes:GPS positioning, Big Dipper positioning or AGPS positioning etc..
Specifically, the early warning based on weather data to plant production base in Internet of Things is realized in the present embodiment, it can
To obtain the data of weather forecast of production base in Internet of Things, specific data of weather forecast packet by preset data-interface
It includes:Temperature, humidity, wind direction, wind speed and meteorological disaster early warning, specific meteorological disaster such as arid, hail, storm, thunder and lightning.
And in order to increase the accuracy rate of weather data, multiple data-interfaces, which can be arranged, connects different weather data libraries,
To obtain different weather datas, and choose closest to preset in data-interface the present embodiment the most of true weather data
The choosing method of specific preset data interface is described in detail in data-interface in the following embodiments.
102, the meteorologic parameter of corresponding production base is extracted from data of weather forecast;
As large area plants the appearance of trend, the possible same user area different in the whole world possesses multiple planting matrixs
Ground, and the same Internet of Things is accessed in multiple planting bases by respective positions identification technology respectively, therefore obtain in a step 101
In Internet of Things after the data of weather forecast of production base, the meteorology of corresponding production base can be extracted from data of weather forecast
Parameter such as extracts the first meteorologic parameter of Beijing production base, the second gas of Shanghai production base from total weather data
As parameter, the third meteorologic parameter of Xinjiang production base and the 4th meteorologic parameter of Australia production base etc..
Specifically, the extraction of meteorologic parameter can be that the precision matching in corresponding geographical location is carried out from weather data,
If the production base in Xinjiang is located at the areas X in Xinjiang, then the areas X in Xinjiang are matched first in data of weather forecast, if matching
Failure then selects the weather data from the regional nearest areas Y Xinjiang X as the day positioned at the areas Xinjiang X from weather data
Destiny evidence.
103, meteorologic parameter is converted to corresponding weather notation image;
Meteorologic parameter is quickly identified in order to facilitate the staff of production base, improves the readability of meteorologic parameter, it can be with
It converts meteorologic parameter to corresponding weather notation image to show, to facilitate different age brackets, Different Culture horizontal
Staff checks.
Specifically, the conversion of meteorologic parameter, can be by being preset in the production prior-warning device based on weather data
Data conversion table converts meteorologic parameter, and specific conversion table may refer to shown in table 1.
Table 1
Area | Date | Type | Range is set | Mapping symbols |
Before the Pu of riverhead | HYPQ0001 | Temperature | 20 degree of -30 degree | The sun |
Yunnan Midu | YNMD0001 | Humidity | 30% | Fog |
Dali | YNDL0001 | Hail | N grades | Ice cube |
It should be noted that table 1 has been merely given as an exemplary illustration of data conversion table, with transfer process
In, when being mapped as the weather notation of " fog ", the meteorologic parameters such as visibility, air pressure, wind speed, wind direction can also be added, herein
Switch condition in meteorological conversion table is not particularly limited.
104, determine that weather notation image corresponds to the plant variety of production base;
Because each plant of production base plantation has different sensitive meteorologic parameters, if grape light is hydrophobic, and apple
Then opposite happiness water detests drought for fruit, pears, therefore before weather notation image is converted to corresponding action command, it is also necessary to first determine life
The floristics in base is produced, and according to the sensitive meteorologic parameter of plant, the weather notation image of the production base is further turned
It is changed to corresponding action command, it should be noted that the sensitive meteorologic parameter of plant refers to being unfavorable for plant life in the present embodiment
Long meteorologic parameter.
105, according to the plant variety, weather notation image is converted into corresponding action command by acting mapping table,
The action is executed instruction carries out early warning for the plant to production base.
In order to find meteorological disaster in time, prevents meteorological disaster and the plant of production base is caused to damage, be based on day destiny
According to production prior-warning device after the plant variety that the corresponding production base of weather notation image is determined, can also further by
Weather notation image is converted to corresponding action by action mapping table and executes instruction, which executes instruction for producing base
The plant on ground carries out early warning.
Specific action mapping table may refer to shown in table 2:
Table 2
Such as when there is the weather notation image of ice cube, the production prior-warning device based on weather data can be according to action
The weather notation image of the hail is converted to and is executed instruction with relevant first action of agaric by mapping table, first action command
It can be the early warning alarm opened in production prior-warning device, or send and prompt to the terminal device bound with production prior-warning device
Information, or the small bell being fixed in production prior-warning device is tapped, or the early warning infrared ray in production early warning is opened, for
Send early warning;When and when there is the weather notation of the sun, production prior-warning device then turns the weather notation image of the sun
It is changed to and is executed instruction with the relevant action of volume second of grape, it can send out voice weather prompting which, which executes instruction,
Such as " today is fine, wishes that you live a happy life ", the music track etc. of a certain first setting or is put outside;And work as the weather for fog occur
When symbol, production prior-warning device, which then is converted to the weather notation image of the fog to execute with the relevant third action of Chinese rose, to be referred to
It enables, to execute instruction can be voice prompt for third action, or with the relevant ringing tone prompt of fog etc..
It should be noted that movement content in the first, second and third action command can be a kind of above-mentioned action or
The combination of several actions can also carry out self-defined setting according to the custom and hobby of user, be not particularly limited herein.
In the embodiment of the present invention, the data of weather forecast of Internet of Things production base is obtained by preset data-interface, from
The meteorologic parameter that corresponding production base is extracted in the data of weather forecast converts the meteorologic parameter to corresponding weather notation
Image determines that weather notation image corresponds to the plant variety of production base, according to plant variety, weather notation image is passed through dynamic
Corresponding action is converted to as mapping table to execute instruction, which executes instruction for proposing the plant progress early warning of production base
Show, because in the present embodiment, directly obtaining weather data by data-interface, relative to the artificial mode for obtaining data, improves
The time efficiency and accuracy rate that weather data obtains, and convert meteorologic parameter to corresponding weather notation image, and further
Weather notation image is mapped as executing instruction with the relevant action of the plant variety of the production base, for production base
Plant carries out early warning, improves the real-time and validity of Forewarning Measures implementation.
Based on Fig. 1 the embodiment described, it is pre- that the production based on weather data in the embodiment of the present invention is described in detail below
Another embodiment of alarm method, referring to Fig. 2, producing the another of method for early warning based on weather data in the embodiment of the present invention
A embodiment, including:
In order to improve the accuracy rate of weather data, the production prior-warning device based on weather data before obtaining weather data,
Preset data-interface is first chosen to obtain the higher weather data of accuracy rate, the choosing method of specific preset interface can be with
It is:
201, multiple data-interfaces are set and obtain data of weather forecast;
Under current big data background, multiple data-interfaces can be set and obtain weather forecast number from different databases
According to such as being distinguished by the data-interface of Chinese weather net, China Meteorological Administration or place (such as Guangzhou, Beijing, Shanghai) Meteorological Center
Obtain the data of weather forecast of each production base, and can be network linking interface, API data connect for specific data-interface
Mouth or client data interface are herein not particularly limited the form of the database and data-interface that obtain weather data.
202, the error of the data of weather forecast and practical weather data of each data-interface in multiple data-interfaces is counted
Rate;
In order to determine that each data-interface gets the accuracy rate of weather data, to choose best data-interface, in step
After rapid 201, the data of weather forecast of each data-interface and practical weather data in multiple data-interfaces can be counted respectively
Error rate, and error threshold is set in producing prior-warning device, to be used for choosing suitable data-interface.
203, the data-interface for choosing error rate minimum is preset data-interface;
After counting on the error rate of each data-interface in step 202, in order to improve the accuracy rate of weather data, then choose
The data-interface of error rate minimum is preset data-interface.
204, the data of weather forecast of production base in Internet of Things is obtained by preset data-interface;
205, the meteorologic parameter of corresponding production base is extracted from data of weather forecast;
It should be noted that step 204 in the present embodiment is to 205 and step 101 in embodiment described in Fig. 1 to 102 classes
Seemingly, details are not described herein again.
206, the first sensitive meteorologic parameter of plant cultivated to production base is determined from the meteorologic parameter, to first
Meteorologic parameter is especially shown;
In general, each production base can plant corresponding plant according to the climatic characteristic of various regions, when such as Xinjiang sunshine
Between it is longer, be relatively suitble to kind of grape, "Hami" melon, therefore grape, "Hami" melon are more sensitive to rainwater, when excessive rainfall, then can lead
Grape, "Hami" melon is caused to send out rotten;And Shaanxi, Shanxi are relatively suitble to the plant of the happiness water such as kind of apple, pears, and apple, pears are to arid day
Gas is more sensitive, and dry weather is easy to cause that apple, the head of pears are smaller, and mouthfeel is not crisp, it is possible to according to production base
Floristics determines the first sensitive meteorologic parameter of the plantation, and is especially shown to the first meteorologic parameter, spy herein
Xian Shi not refer to a kind of display mode (such as marking red, flicker) for being different from other meteorologic parameters, for managing the production
The administrative staff in base remind.
207, according to meteorologic parameter, the corresponding meteorologic parameter curve graph in Internet of Things production base is drawn;
In order to keep meteorologic parameter more intuitive and facilitate checking for history meteorologic parameter, can further get it is each
After the meteorologic parameter of production base, the meteorologic parameter of various regions is plotted as meteorologic parameter curve graph, as temperature profile, humidity are bent
Line chart, hail four-quadrant diagram, wherein temperature, moisture curve horizontal axis be the date, the longitudinal axis is specific temperature, humidity value, and ice
Hail four-quadrant diagram can be then that horizontal axis is the time, and the longitudinal axis is hail spot.
Further, by the generation area of each production base meteorological disaster, time of origin and quantity progress can also occur
Summarizing, wherein horizontal axis is time of origin, and the longitudinal axis is area to occur, and quantity occurs and is indicated with color, wherein color is deeper,
Then the quantity of meteorological disaster is more, and color is more shallow, and the quantity of meteorological disaster is fewer, and further, which is receiving
When clicking operation, it can also show that the area that meteorological disaster occurs and time, specific display mode can be the sides with bubble
Formula is shown or the form of animation is shown, is not particularly limited herein for specific display mode.
208, meteorologic parameter is converted to corresponding weather notation image;
It should be noted that the step 208 in the present embodiment is similar with the step 103 in embodiment described in Fig. 1, herein not
It repeats again.
209, determine that weather notation image corresponds to the plant variety of production base, according to the plant variety, by weather notation
Image is converted to corresponding action command by acting mapping table, which executes instruction for the plant progress to production base
Early warning.
Corresponding to step 206, because each plant of production base plantation has different sensitive meteorologic parameters, such as grape
It enjoys light hydrophobic, and then opposite happiness water detests drought for apple, pears, therefore before weather notation image is converted to corresponding action command,
It also needs to first determine the floristics of production base, and according to the sensitive meteorologic parameter of plant, the weather of the production base is accorded with
Number image is converted to corresponding action command, it should be noted that the sensitive meteorologic parameter of plant refers to unfavorable in the present embodiment
In the meteorologic parameter of plant growth.
The plant planted such as Xinjiang production base is grape, if the weather notation image of Xinjiang production base is heavy rain,
Action command in action mapping table is the early warning alarm opened in production prior-warning device, or is bound to production prior-warning device
Terminal device send prompt message, or tap be fixed on production prior-warning device in small bell, or open production early warning in
Early warning infrared ray, for send early warning;And when the plant of Shaanxi production base plantation is apple, then it is in Shaanxi
When the weather notation image of production base is arid, just early warning alarm can will be sent, thus it is dynamic being converted to weather notation image
Before executing instruction, it is also necessary to determine the floristics of production base plantation, further determine the meteorology of floristics sensitivity
Parameter, and the weather notation image of production base is converted by corresponding action according to the meteorologic parameter of floristics sensitivity and is referred to
It enables.
In the embodiment of the present invention, the data of weather forecast of Internet of Things production base is obtained by preset data-interface, from
The meteorologic parameter that corresponding production base is extracted in the data of weather forecast converts the meteorologic parameter to corresponding weather notation
Image determines that weather notation image corresponds to the plant variety of production base, is passed through weather notation image according to the plant variety
Action mapping table is converted to corresponding action and executes instruction, which executes instruction carries out early warning for the plant to production base
Prompt, relative to the artificial mode for obtaining data, is improved because in the present embodiment, directly obtaining weather data by data-interface
The time efficiency and accuracy rate that weather data obtains, and convert meteorologic parameter to corresponding weather notation image, goes forward side by side one
Weather notation image is mapped as executing instruction with the relevant action of the plant variety of the production base by step, for production base
Plant carry out early warning, improve Forewarning Measures implementation real-time and validity.
Secondly, method of the embodiment of the present invention also by counting weather data error rate chooses the data of error rate minimum
Interface improves the accuracy rate of weather data;And after getting the meteorologic parameter of production base, meteorologic parameter is plotted as
Meteorologic parameter curve graph provides history reference data for subsequent meteorologic parameter.
Described above is the production method for early warning based on weather data in the embodiment of the present invention, and the present invention will be described below
The production prior-warning device based on weather data in embodiment, referring to Fig. 3, the life based on weather data in the embodiment of the present invention
One embodiment of prior-warning device is produced, including:
Acquiring unit 301, the data of weather forecast for obtaining production base in Internet of Things by preset data-interface;
Extraction unit 302, the meteorologic parameter for extracting corresponding production base from data of weather forecast;
First converting unit 303, for converting meteorologic parameter to corresponding weather notation image;
First determination unit 304, for determining that the weather notation image corresponds to the plant variety of production base;
Second converting unit 305 is converted to weather notation image pair by acting mapping table for according to plant variety
The action answered executes instruction, which executes instruction carries out early warning for the plant to production base.
In the embodiment of the present invention, by acquiring unit 301, the data of weather forecast of Internet of Things production base, extraction are obtained
Unit 302 extracts the meteorologic parameter of corresponding production base, the first converting unit 303, by the gas from the data of weather forecast
As parameter is converted into corresponding weather notation image, the second converting unit 305, by weather notation image by acting mapping table turn
It is changed to and is executed instruction with the relevant action of the plant variety of corresponding production base, which executes instruction for production base
Plant carries out early warning, and because in the present embodiment, directly obtaining weather data by data-interface, data are obtained relative to artificial
Mode, improve the time efficiency and accuracy rate of weather data acquisition, and convert meteorologic parameter to corresponding weather notation
Image, and further be mapped as executing instruction with the relevant action of the plant variety of the production base by weather notation image, it uses
Early warning is carried out in the plant to production base, improves the real-time and validity of Forewarning Measures implementation.
Based on the production prior-warning device based on weather data described in Fig. 3, it is described below in detail in the embodiment of the present invention
Production prior-warning device based on weather data, referring to Fig. 4, the production prior-warning device based on weather data in the embodiment of the present invention
Another embodiment, including:
Acquiring unit 401, the data of weather forecast for obtaining production base in Internet of Things by preset data-interface;
Extraction unit 402, the meteorologic parameter for extracting corresponding production base from data of weather forecast;
First converting unit 403, for converting meteorologic parameter to corresponding weather notation image;
First determination unit 404, for determining that weather notation image corresponds to the plant variety of production base;
Second converting unit 405 is converted to weather notation image pair by acting mapping table for according to plant variety
The action answered executes instruction, which executes instruction carries out early warning for the plant to production base.
Preferably, which further includes:
Drawing unit 406, for according to the meteorologic parameter, drawing the corresponding meteorologic parameter curve in Internet of Things production base
Figure;
Preferably, which further includes:
Setting unit 407 obtains data of weather forecast for multiple data-interfaces to be arranged;
Statistic unit 408, for counting the data of weather forecast of each data-interface and practical day in multiple data-interfaces
The error rate of destiny evidence;
Selection unit 409, the data-interface for choosing error rate minimum are preset data-interface.
Preferably, which further includes:
Second determination unit 410, for determining the first sensitive gas of plant cultivated to production base from meteorologic parameter
As parameter;
Display unit 411, for especially being shown to the first meteorologic parameter.
In the embodiment of the present invention, by acquiring unit 401, the data of weather forecast of Internet of Things production base, extraction are obtained
Unit 402 extracts the meteorologic parameter of corresponding production base, the first converting unit 403, by the gas from the data of weather forecast
As parameter is converted into corresponding weather notation image, the second converting unit 405, by weather notation image by acting mapping table turn
It is changed to and is executed instruction with the relevant action of the plant variety of corresponding production base, which executes instruction for production base
Plant carries out early warning, and because in the present embodiment, directly obtaining weather data by data-interface, data are obtained relative to artificial
Mode, improve the time efficiency and accuracy rate of weather data acquisition, and convert meteorologic parameter to corresponding weather notation
Image, and further be mapped as executing instruction with the relevant action of the plant variety of the production base by weather notation image, it uses
Early warning is carried out in the plant to production base, improves the real-time and validity of Forewarning Measures implementation.
Secondly, the embodiment of the present invention also by statistic unit 408 and selection unit 409, counts the error rate of weather data,
And the data-interface of error rate minimum is taken to obtain weather data, improve the accuracy rate of weather data;And getting production
After the meteorologic parameter in base, meteorologic parameter is plotted as by meteorologic parameter curve graph by drawing unit 406, for subsequent meteorological ginseng
Number provides history reference data.
The production early warning based on weather data in the embodiment of the present invention is filled from the angle of modular functionality entity above
It sets and is described, the computer installation in the embodiment of the present invention is described from the angle of hardware handles below:
The computer installation is fallen into a trap for realizing the function of producing prior-warning device based on weather data, the embodiment of the present invention
Calculation machine device one embodiment includes:
Processor and memory;
Memory can when processor is used to execute the computer program stored in memory for storing computer program
To realize following steps:
The data of weather forecast of production base in Internet of Things is obtained by preset data-interface;
The meteorologic parameter of corresponding production base is extracted from data of weather forecast;
Convert meteorologic parameter to corresponding weather notation image;
Determine that weather notation image corresponds to the plant variety of production base;
According to plant variety, weather notation image is converted into corresponding action by action mapping table and is executed instruction, it should
Action is executed instruction carries out early warning for the plant to production base.
In some embodiments of the invention, processor can be also used for realizing following steps:
According to meteorologic parameter, the corresponding meteorologic parameter curve graph in Internet of Things production base is drawn.
In some embodiments of the invention, processor can be also used for realizing following steps:
Multiple data-interfaces are set and obtain data of weather forecast;
Count the error rate of the data of weather forecast and practical weather data of each data-interface in multiple data-interfaces;
The data-interface for choosing error rate minimum is preset data-interface.
In some embodiments of the invention, processor can be also used for realizing following steps:
The first sensitive meteorologic parameter of plant cultivated to production base is determined from meteorologic parameter;
First meteorologic parameter is especially shown.
It is understood that when the processor in the computer installation of above description executes the computer program, also may be used
To realize the function of each unit in above-mentioned corresponding each device embodiment, details are not described herein again.Illustratively, the computer journey
Sequence can be divided into one or more module/units, and one or more of module/units are stored in the memory
In, and executed by the processor, to complete the present invention.One or more of module/units can be can complete it is specific
The series of computation machine program instruction section of function, the instruction segment are based on weather data for describing the computer program described
Production prior-warning device implementation procedure.For example, the computer program can be divided into the above-mentioned life based on weather data
The each unit in prior-warning device is produced, each unit may be implemented as described in the above-mentioned accordingly production prior-warning device based on weather data
Concrete function.
The computer installation can be that the calculating such as desktop PC, notebook, palm PC and cloud server are set
It is standby.The computer installation may include but be not limited only to processor, memory.It will be understood by those skilled in the art that processor,
Memory is only the example of computer installation, does not constitute the restriction to computer installation, may include more or fewer
Component either combines certain components or different components, such as the computer installation can also be set including input and output
Standby, network access equipment, bus etc..
The processor can be central processing unit (Central Processing Unit, CPU), can also be it
His general processor, digital signal processor (Digital Signal Processor, DSP), application-specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor
Deng the processor is the control centre of the computer installation, utilizes various interfaces and the entire computer installation of connection
Various pieces.
The memory can be used for storing the computer program and/or module, and the processor is by running or executing
Computer program in the memory and/or module are stored, and calls the data being stored in memory, described in realization
The various functions of computer installation.The memory can include mainly storing program area and storage data field, wherein storage program
It area can storage program area, the application program etc. needed at least one function;Storage data field can store the use according to terminal
The data etc. created.In addition, memory may include high-speed random access memory, can also include non-volatile memories
Device, such as hard disk, memory, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure
Digital, SD) card, flash card (Flash Card), at least one disk memory, flush memory device or other volatibility are solid
State memory device.
The present invention also provides a kind of computer readable storage medium, the computer readable storage medium for realizing based on
The function of the production prior-warning device of weather data, is stored thereon with computer program, when computer program is executed by processor, place
Device is managed, can be used for executing following steps:
The data of weather forecast of production base in Internet of Things is obtained by preset data-interface;
The meteorologic parameter of corresponding production base is extracted from data of weather forecast;
Convert meteorologic parameter to corresponding weather notation image;
Determine that weather notation image corresponds to the plant variety of production base;
According to plant variety, weather notation image is converted into corresponding action by action mapping table and is executed instruction, it should
Action is executed instruction carries out early warning for the plant to production base.
In some embodiments of the invention, the computer program of computer-readable recording medium storage is executed by processor
When, processor can be specifically used for executing following steps:
According to meteorologic parameter, the corresponding meteorologic parameter curve graph in Internet of Things production base is drawn.
In some embodiments of the invention, the computer program of computer-readable recording medium storage is executed by processor
When, processor can be specifically used for executing following steps:
Multiple data-interfaces are set and obtain data of weather forecast;
Count the error rate of the data of weather forecast and practical weather data of each data-interface in multiple data-interfaces;
The data-interface for choosing error rate minimum is preset data-interface.
In some embodiments of the invention, the computer program of computer-readable recording medium storage is executed by processor
When, processor can be specifically used for executing following steps:
The first sensitive meteorologic parameter of plant cultivated to production base is determined from meteorologic parameter;
First meteorologic parameter is especially shown.
It is understood that if the integrated unit is realized in the form of SFU software functional unit and as independent production
Product are sold or in use, can be stored in a corresponding computer read/write memory medium.Based on this understanding, this hair
The bright all or part of flow realized in above-mentioned corresponding embodiment method, can also be instructed relevant by computer program
Hardware is completed, and the computer program can be stored in a computer readable storage medium, which is being located
It manages when device executes, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer program includes computer program generation
Code, the computer program code can be source code form, object identification code form, executable file or certain intermediate forms
Deng.The computer-readable medium may include:Any entity or device, record of the computer program code can be carried
Medium, USB flash disk, mobile hard disk, magnetic disc, CD, computer storage, read-only memory (ROM, Read-Only Memory), with
Machine accesses memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..
It should be noted that the content that the computer-readable medium includes can be according to legislation and patent practice in jurisdiction
It is required that carrying out increase and decrease appropriate, such as in certain jurisdictions, do not wrapped according to legislation and patent practice, computer-readable medium
Include electric carrier signal and telecommunication signal.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be the indirect coupling by some interfaces, device or unit
It closes or communicates to connect, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part steps.And storage medium above-mentioned includes:USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although with reference to before
Stating embodiment, invention is explained in detail, it will be understood by those of ordinary skill in the art that:It still can be to preceding
The technical solution recorded in each embodiment is stated to modify or equivalent replacement of some of the technical features;And these
Modification or replacement, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of production method for early warning based on weather data, which is characterized in that including:
The data of weather forecast of production base in Internet of Things is obtained by preset data-interface;
The meteorologic parameter of corresponding production base is extracted from the data of weather forecast;
Convert the meteorologic parameter to corresponding weather notation image;
Determine that the weather notation image corresponds to the plant variety of production base;
According to the plant variety, the weather notation image is referred to by acting mapping table and being converted to corresponding action and execute
It enables, the action is executed instruction carries out early warning for the plant to production base.
2. according to the method described in claim 1, it is characterized in that, converting the meteorologic parameter to corresponding weather described
After glyph image, the method further includes:
According to the meteorologic parameter, the corresponding meteorologic parameter curve graph in the Internet of Things production base is drawn.
3. according to the method described in claim 1, it is characterized in that, the method further includes:
Multiple data-interfaces are set and obtain data of weather forecast;
Count the error rate of the data of weather forecast and practical weather data of each data-interface in the multiple data-interface;
The data-interface for choosing error rate minimum is the preset data-interface.
4. according to the method in any one of claims 1 to 3, which is characterized in that described from the data of weather forecast
In extract the meteorologic parameter of corresponding production base after, the method further includes:
The first sensitive meteorologic parameter of plant cultivated to production base is determined from the meteorologic parameter;
First meteorologic parameter is especially shown.
5. a kind of production prior-warning device based on weather data, which is characterized in that including:
Acquiring unit, the data of weather forecast for obtaining production base in Internet of Things by preset data-interface;
Extraction unit, the meteorologic parameter for extracting corresponding production base from the data of weather forecast;
First converting unit, for converting the meteorologic parameter to corresponding weather notation image;
First determination unit, for determining that the weather notation image corresponds to the plant variety of production base;
Second converting unit, for according to the plant variety, the weather notation image to be converted to by acting mapping table
Corresponding action executes instruction, and the action is executed instruction carries out early warning for the plant to production base.
6. production prior-warning device according to claim 5, which is characterized in that described device further includes:
Drawing unit, for according to the meteorologic parameter, drawing the corresponding meteorologic parameter curve graph in the Internet of Things production base.
7. production prior-warning device according to claim 5, which is characterized in that described device further includes:
Setting unit obtains data of weather forecast for multiple data-interfaces to be arranged;
Statistic unit, for counting the data of weather forecast of each data-interface and practical day destiny in the multiple data-interface
According to error rate;
Selection unit, the data-interface for choosing error rate minimum are the preset data-interface.
8. production prior-warning device according to any one of claims 5 to 7, which is characterized in that described device further includes:
Second determination unit, the first meteorological ginseng sensitive for determining plant cultivated to production base from the meteorologic parameter
Number;
Display unit, for especially being shown to first meteorologic parameter.
9. a kind of computer installation, including processor, which is characterized in that the processor is stored in the meter on memory in processing
When calculation machine program, for realizing the production method for early warning according to any one of claims 1 to 4 based on weather data.
10. a kind of readable storage medium storing program for executing, is stored thereon with computer program, which is characterized in that the computer program is handled
When device executes, for realizing the production method for early warning according to any one of claims 1 to 4 based on weather data.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810258433.5A CN108491523A (en) | 2018-03-27 | 2018-03-27 | A kind of production method for early warning based on weather data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810258433.5A CN108491523A (en) | 2018-03-27 | 2018-03-27 | A kind of production method for early warning based on weather data |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108491523A true CN108491523A (en) | 2018-09-04 |
Family
ID=63337820
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810258433.5A Pending CN108491523A (en) | 2018-03-27 | 2018-03-27 | A kind of production method for early warning based on weather data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108491523A (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109099934A (en) * | 2018-09-10 | 2018-12-28 | 贵州民族大学 | A kind of weather forecast navigation system based on mark |
CN109188567A (en) * | 2018-09-30 | 2019-01-11 | 康美中药材数据信息服务有限公司 | A kind of production of crude drugs weather warning method, electronic equipment and storage medium |
CN109215309A (en) * | 2018-09-30 | 2019-01-15 | 康美中药材数据信息服务有限公司 | A kind of production of crude drugs environmental warning method, electronic equipment and storage medium |
CN109242717A (en) * | 2018-10-16 | 2019-01-18 | 首都师范大学 | Agricultural Information processing method, device and electronic equipment |
CN109270597A (en) * | 2018-09-06 | 2019-01-25 | 东华大学 | A kind of mining industry security protection node for severe Convective Weather Warnings |
CN109360394A (en) * | 2018-09-30 | 2019-02-19 | 康美中药材数据信息服务有限公司 | A kind of production of crude drugs environment early warning system |
CN109523112A (en) * | 2018-09-30 | 2019-03-26 | 康美中药材数据信息服务有限公司 | A kind of environmental warning method, electronic equipment and the storage medium of production of crude drugs |
CN109523113A (en) * | 2018-09-30 | 2019-03-26 | 康美中药材数据信息服务有限公司 | A kind of environmental warning method, electronic equipment and the storage medium of production of crude drugs |
CN111324039A (en) * | 2020-04-13 | 2020-06-23 | 湖南文理学院 | Rainwater circulation system for roof garden irrigation and control method thereof |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040039489A1 (en) * | 2002-04-19 | 2004-02-26 | Moore Steven Edward | Irrigation control system |
CN104635694A (en) * | 2015-01-08 | 2015-05-20 | 沈阳远大智能高科农业有限公司 | Intelligent agricultural early warning system |
CN208207247U (en) * | 2017-12-28 | 2018-12-07 | 山西省农业科学院畜牧兽医研究所 | A kind of agrometeorological hazard early warning system |
-
2018
- 2018-03-27 CN CN201810258433.5A patent/CN108491523A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040039489A1 (en) * | 2002-04-19 | 2004-02-26 | Moore Steven Edward | Irrigation control system |
CN104635694A (en) * | 2015-01-08 | 2015-05-20 | 沈阳远大智能高科农业有限公司 | Intelligent agricultural early warning system |
CN208207247U (en) * | 2017-12-28 | 2018-12-07 | 山西省农业科学院畜牧兽医研究所 | A kind of agrometeorological hazard early warning system |
Non-Patent Citations (1)
Title |
---|
魏刚: "细说园博会上的高科技元素", 《中国科学报》 * |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109270597A (en) * | 2018-09-06 | 2019-01-25 | 东华大学 | A kind of mining industry security protection node for severe Convective Weather Warnings |
CN109270597B (en) * | 2018-09-06 | 2023-09-22 | 东华大学 | Mining security node for strong convection weather early warning |
CN109099934A (en) * | 2018-09-10 | 2018-12-28 | 贵州民族大学 | A kind of weather forecast navigation system based on mark |
CN109188567A (en) * | 2018-09-30 | 2019-01-11 | 康美中药材数据信息服务有限公司 | A kind of production of crude drugs weather warning method, electronic equipment and storage medium |
CN109215309A (en) * | 2018-09-30 | 2019-01-15 | 康美中药材数据信息服务有限公司 | A kind of production of crude drugs environmental warning method, electronic equipment and storage medium |
CN109360394A (en) * | 2018-09-30 | 2019-02-19 | 康美中药材数据信息服务有限公司 | A kind of production of crude drugs environment early warning system |
CN109523112A (en) * | 2018-09-30 | 2019-03-26 | 康美中药材数据信息服务有限公司 | A kind of environmental warning method, electronic equipment and the storage medium of production of crude drugs |
CN109523113A (en) * | 2018-09-30 | 2019-03-26 | 康美中药材数据信息服务有限公司 | A kind of environmental warning method, electronic equipment and the storage medium of production of crude drugs |
CN109215309B (en) * | 2018-09-30 | 2020-11-06 | 康美中药材数据信息服务有限公司 | Medicinal material production environment early warning method, electronic equipment and storage medium |
CN109360394B (en) * | 2018-09-30 | 2020-11-27 | 康美药业股份有限公司 | Medicinal material production environment early warning system |
CN109242717A (en) * | 2018-10-16 | 2019-01-18 | 首都师范大学 | Agricultural Information processing method, device and electronic equipment |
CN111324039A (en) * | 2020-04-13 | 2020-06-23 | 湖南文理学院 | Rainwater circulation system for roof garden irrigation and control method thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108491523A (en) | A kind of production method for early warning based on weather data | |
Watanabe et al. | Rice morphogenesis and plant architecture: measurement, specification and the reconstruction of structural development by 3D architectural modelling | |
CN113040034B (en) | Water-saving irrigation control system and control method | |
EP3160220A1 (en) | Agronomic system, methods and apparatuses | |
CN110059915B (en) | Winter wheat weather disaster comprehensive risk dynamic evaluation method and device | |
CN110598532B (en) | Tree pest and disease damage monitoring system and method | |
CN106772685A (en) | Similar typhoon matching algorithm and software support system based on Web GIS | |
CN116401417A (en) | Hierarchical storage method based on massive agricultural product data | |
CN113326925A (en) | Density graph regression-based flower amount statistical method, system, equipment and medium for convolutional neural network | |
CN112100130A (en) | Massive remote sensing variable multi-dimensional aggregation information calculation method based on data cube model | |
CN105242330A (en) | Detection method and device for weather condition, and mobile terminal | |
CN110084539A (en) | Irrigation decision learning method, device, server and storage medium | |
CN109548634A (en) | A kind of intelligent irrigation method based on LABVIEW | |
CN113191572A (en) | Apple yield prediction method and device, storage medium and electronic equipment | |
CN102866436B (en) | The prediction caution system of a kind of disease | |
CN110441830B (en) | Small-area weather prediction method based on automatic weather station and storage medium | |
CN116721345A (en) | Morphology index nondestructive measurement method for pinus massoniana seedlings | |
CN207424878U (en) | A kind of intelligence orchard ecology tour management system | |
CN114511148A (en) | Artificial intelligence-based inland inundation early warning method, system, medium and equipment | |
CN201637865U (en) | Network automatic meteorological station | |
TWI703529B (en) | A method for calculating a growth stage of a crop and computer program product | |
CN113225400A (en) | Bird population density monitoring system and method based on singing of singing birds | |
CN112241818A (en) | Method for determining methane emission in rice field | |
CN113349020B (en) | Method and device for accurately watering greenhouse vegetables and electronic equipment | |
CN117057164B (en) | Wind resource evaluation method and device, electronic equipment and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180904 |